本项目实现了语义匹配的几个模型，分别为： DSSM Learning Deep Structured Semantic Models for Web Search using Clickthrough Data

ESIM Enhanced LSTM for Natural Language Inference

Pair-CNN Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks

ABCNN ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs

BIMPM bilateral multi-perspective matching for natural language sentences

论文及papers在文件夹中